A smart Warehouse 4.0 approach for the pallet management using machine vision and Internet of Things (IoT): A real industrial case study

IF 2.8 3区工程技术 Q2 ENGINEERING, MANUFACTURING

Advances in Production Engineering & Management Pub Date : 2021-09-30 DOI:10.14743/apem2021.3.401

A. Vukičević, M. Mladineo, N. Banduka, I. Macuzic

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引用次数: 11

Abstract

Printing companies are commonly SMEs with high flow of materials, which management could be significantly improved through the digitalization. In this study we propose a smart Warehouse 4.0 solution by using QR code, open-source software tools for machine vision and conventional surveillance equipment. Although there have been concerns regarding the usage of QR in logistics, it has shown to be suitable for the particular use-case as pallets are static in the interwarehouse. The reliability of reading of QR codes was achieved by using multiple IP cameras, so that sub-optimal view angle or light reflection is compensated with alternative views. Since surveillance technology and machine vision are constantly evolving and becoming more affordable, we report that more attention needs to be invested into their adaptation to fit the needs and budgets of SMEs, which are the industrial cornerstone in the most developed countries. The demo of proposed solution is available on the public repository https://github.com/ArsoVukicevic/PalletManagement/.

查看原文本刊更多论文

使用机器视觉和物联网(IoT)进行托盘管理的智能仓库4.0方法:一个真实的工业案例研究

印刷企业一般都是物料流量大的中小企业，通过数字化可以显著改善其管理。在这项研究中，我们提出了一个智能仓库4.0解决方案，利用二维码，开源软件工具的机器视觉和传统的监控设备。尽管有人担心QR在物流中的使用，但由于托盘在仓库间是静态的，因此它已被证明适用于特定的用例。通过使用多个IP摄像头来实现QR码读取的可靠性，因此次优视角或光反射可以通过其他视角来补偿。由于监控技术和机器视觉正在不断发展，并且变得越来越便宜，我们报告说，需要更多地关注它们的适应性，以适应中小企业的需求和预算，中小企业是大多数发达国家的工业基石。建议的解决方案的演示可以在公共存储库https://github.com/ArsoVukicevic/PalletManagement/上获得。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Advances in Production Engineering & Management ENGINEERING, MANUFACTURINGMATERIALS SCIENC-MATERIALS SCIENCE, MULTIDISCIPLINARY

CiteScore

5.90

自引率

22.20%

发文量

期刊介绍： Advances in Production Engineering & Management (APEM journal) is an interdisciplinary international academic journal published quarterly. The main goal of the APEM journal is to present original, high quality, theoretical and application-oriented research developments in all areas of production engineering and production management to a broad audience of academics and practitioners. In order to bridge the gap between theory and practice, applications based on advanced theory and case studies are particularly welcome. For theoretical papers, their originality and research contributions are the main factors in the evaluation process. General approaches, formalisms, algorithms or techniques should be illustrated with significant applications that demonstrate their applicability to real-world problems. Please note the APEM journal is not intended especially for studying problems in the finance, economics, business, and bank sectors even though the methodology in the paper is quality/project management oriented. Therefore, the papers should include a substantial level of engineering issues in the field of manufacturing engineering.